knowledge graph population in low resource conditions
The file "Few-Shot_ED.json.zip" is the FewEvent dataset for the paper accepted by WSDM 2020 "Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection"
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We first scale up the number of event types in existing datasets, including the ACE-2005 corpus, and TAC-KBP-2017 Event Track Data.
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We then import and extend some new event types based on an automatically-labeled event data, from Freebase and Wikipedia, constrained to specific domains such as music, film, sports, education, etc.
In "Few-Shot_ED.json.zip",the key is "event type label", the value is the event instances.
{event_type_label1: [instance1, instance2, ...], event_type_label2: ...}
(Note that the sentence should be cleaned, e.g., To expand abbreviations)
["In trucks and on foot they came to the town of Safwan", "came", [7, 6, 12]]
- "In trucks and on foot they came to the town of Safwan" is an event mention
- "came" is trigger
- 7 means the distance from trigger "came" to the beginning of the sentence
- 6 means the distance from trigger "came" to the ending of the sentence
- 12 means the sentence length